IDEAS home Printed from https://ideas.repec.org/a/igg/jdwm00/v4y2008i2p32-45.html
   My bibliography  Save this article

Using TreeNet to Cross-sell Home Loans to Credit Card Holders

Author

Listed:
  • Dan Steinberg

    (Salford Systems, USA)

  • Nicholas C. Cardell

    (Salford Systems, USA)

  • John Ries

    (Salford Systems, USA)

  • Mykhaylyo Golovnya

    (Salford Systems, USA)

Abstract

Today’s credit card issuers are increasingly offering a broad range of products and services with separate lines of business responsible for different product groups. Too often, the separate lines of business operate independently and information available to one line of business may not be used productively by others. In this study, we examine the potential of using information from customers of multiple products to identify customers most likely to respond to cross-sell product offers. Specifically, we examine the potential for offering home loans to a population of credit card holders by studying individuals who do hold both a credit card and a mortgage with the card issuer. Using real world data provided to the 2007 PAKDD data mining competition, we employ Friedman’s stochastic gradient boosting (MART™, TreeNet® ) for the rapid development of a high performance cross-sell predictive model.

Suggested Citation

  • Dan Steinberg & Nicholas C. Cardell & John Ries & Mykhaylyo Golovnya, 2008. "Using TreeNet to Cross-sell Home Loans to Credit Card Holders," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 4(2), pages 32-45, April.
  • Handle: RePEc:igg:jdwm00:v:4:y:2008:i:2:p:32-45
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdwm.2008040105
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jdwm00:v:4:y:2008:i:2:p:32-45. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.